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SOFTWARE · AI/ML · DATA ANALYTICS
Computer Science Engineer
Computer Science undergraduate building production-ready systems across software engineering, AI/ML, backend development, and data analytics, with a strong foundation in Python, system design, networking, operating systems, and DSA.
About Me
Combining computer science fundamentals with hands-on systems reliability, machine learning, and data analytics.
I am a Computer Science & Engineering undergraduate at Allenhouse Institute of Technology, Kanpur — and my journey has always started with the fundamentals. Before building anything, I make sure I understand how it truly works underneath.
That mindset led me to go deep into System Design, Operating Systems, and Computer Networking — not just as theory, but as concepts I actively applied. Every project I build grows out of this understanding, turning core CS principles into systems that are correct, performant, and reliable.
Beyond academics, I have sharpened this thinking through applied virtual experiences with BCG X and British Airways via Forage, and tested it under pressure at hackathons like EY Techathon 5.0 — always looking for the next problem worth understanding deeply.
Skills & Technologies
Organized by specialization areas based on actual projects, certifications, and codebase experience.
Project Journey
Projects organized in deliberate sequence along a centered timeline, alternating right and left. Click any project for detailed specs.
A production 10-layer digital twin unifying predictive forecasting, agentic reasoning, enterprise RAG, MLflow experiment tracking, and Kubernetes deployment.
An AI agent system that autonomously ingests tabular datasets, generates analytical hypotheses, executes automated EDA code, and trains machine learning models.
High-concurrency order placement backend implementing the Saga Pattern, non-blocking Asyncio loops, Redis Streams, RabbitMQ, and transactional consistency.
Operating system simulator modeling virtual memory pagination, dynamic heap allocators, LRU eviction, and CPU process control blocks (PCB).
A customer lifecycle analytics engine integrating RFM customer segmentation, predictive Customer Lifetime Value (CLV) modeling, and churn vulnerability scoring.
Cleaned retail transactional dataset in Python, executed SQL analytical queries, and surfaced dynamic customer spend metrics in interactive Power BI dashboards.
FastAPI microservice middleware connecting frontends with Bedrock foundation models using Server-Sent Events (SSE) streaming and Pydantic validation.
Specialization Hubs
Explore dedicated hub sections with in-depth projects, skills, and resume highlights for each specialization.
Let's explore what I've built in Data Analytics — dashboards, models, and insights shaped from real data.
Explore Analytics Hub ↗Let's explore what I've built in Python Backend — distributed systems engineered for real-world scale.
Explore Backend Hub ↗Let's explore what I've built in AI / ML — intelligent systems that reason, learn, and decide.
Explore AI / ML Hub ↗Certifications
Hover to pause. Click any certification to view full document.
Resume
Preview my single-page PDF résumé or download a local copy directly.
CSE student specializing in Artificial Intelligence and Machine Learning. Focused on building intelligent, production-ready systems backed by strong fundamentals in data structures, system design, and distributed computing.
Let's Connect
Always glad to connect — whether it's a role, a collaboration, or just a good conversation about tech.
I try to stay active everywhere, but I'm not always online on every platform at the same time — so if you'd like a quick, reliable response, email is the best way to reach me.
Get in Touch
Got a role, a project, or just an idea worth discussing? Drop a message below and I'll get back to you.
